Computer Vision Engineer

About the job

Candidates must have knowledge of Python, Computer Vision, Classical Image Processing, Research attitude

Responsibilities

● Own the design, development, testing, deployment, and craftsmanship of the team’s infrastructure and systems capable of handling massive amounts of requests with high reliability and scalability

● Leverage the deep and broad technical expertise to mentor engineers and provide leadership in resolving complex technology issues

● Guide the team for unit-test code for robustness, including edge cases, usability, and general reliability

Requirements

● Freshers can apply.

● Its good to have either Phd or Mtech in AI.

● Notice period should be one month or less than that.

● In-depth understanding of image processing algorithms, Computer Vision methods, Deep Learning and rule-based classifiers (Classical Image Processing).

● Experience in feature extraction, image classification, object recognition and tracking, image registration, noise reduction, image calibration, image segmentation, OCR and correction

● Ability to understand, optimize and debug imaging algorithms

● Understating and experience in openCV library

● Fundamental understanding of mathematical techniques involved in ML and DL schemas (Instance-based methods, Boosting methods, PGM, Neural Networks etc.)

● Thorough understanding of state-of-the-art DL concepts (Sequence modeling, Attention, Convolution, transformer, MLP, Stable Diffusion etc.) along with knack to imagine new schemas that work for the given data.

● Understanding of engineering principles and a clear understanding of data structures and algorithms

● Experience in writing production level codes using python (C++ is a plus)

● Experience with technologies/libraries such as python pandas, numpy, scipy, flask, scikit learn, pytorch etc.

Interview Process:

● First round will be live coding round. If you are confident you can write live pytorch code then only apply otherwise don't waste your time.

● Second round will be technical interview.

● Third round will be second technical interview.

● Forth round will be cultural fit round interview.

ABOUT US:

We are a deep tech startup backed by Prompt Group, Ahmedabad, working in the Agritech sector. Our vision is to digitalize quality assessment at each node of the agri-commodity supply chain. Considering the vast and complex nature of the Agri commodity supply chain, we are making low-cost, easy-to-use, accurate, robust and portable machines that can quickly deliver the most comprehensive quality assessment results. With our extensive experience in computer vision, we are using AI and IOT to solve problems.